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Management of Time Series Data for Long-term Continuous Stormwater Modeling.

Mike Gregory and William James (1996)
University of Guelph
DOI: https://doi.org/10.14796/JWMM.R191-08
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Abstract

Long-term, continuous modelling is essential for simulating the long-term impacts of urban drainage systems on aquatic ecosystems. Managing time-series data for periods of three human generations, or 75 years, is a critical task requiring specialized data management systems. Typical engineering design offices do not have adequate tools or resources to manage such data. As a further complication, many North American agencies are now offering public access to their data through modern media, such as the Internet and CD-ROM.

To identify current needs and preferences of practicing stormwater modellers, a survey was conducted. Results show that practitioners generally agree that continuous modelling is necessary, contrary to numerous planning and design manuals that proclaim continuous modelling is neither desirable nor feasible for stormwater modelling. Furthermore, many favour software tools that aid in their data collection and modelling exercises.

Accordingly, this study investigates the utility of linking a continuous stormwater model (SWMM) with a standard time-series data management system (ANNIE), thereby integrating a widespread and diverse collection of stormwater modelling applications. By means of a new graphical user-interface, efficient manipulation and transfer of time-series data was demonstrated, as measured in terms of computer storage space and processing speed.

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PAPER INFO

Identification

CHI ref #: R191-08 1112
Volume: 4
DOI: https://doi.org/10.14796/JWMM.R191-08
Cite as: CHI JWMM 1996;R191-08

Publication History

Received: N/A
Accepted: N/A
Published: February 15, 1996

Status

# reviewers: 2
Version: Final published

Copyright

© 1996 CHI. Some rights reserved.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The Journal of Water Management Modeling is an open-access (OA) publication. Open access means that articles and papers are available without barriers to all who could benefit from them. Practically speaking, all published works will be available to a worldwide audience, free, immediately on publication. As such, JWMM can be considered a Diamond, Gratis OA journal.

All papers published in the JWMM are licensed under a Creative Commons Attribution 4.0 International License (CC BY).

JWMM content can be downloaded, printed, copied, distributed, and linked-to, when providing full attribution to both the author/s and JWMM.


AUTHORS

Mike Gregory

University of Guelph, Guelph, ON, Canada
ORCiD:

William James

University of Guelph, Guelph, ON, Canada
ORCiD:


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